Learn to create learning models that identify patterns,
and make decisions without human assistance

Objectives

This Corporate Training in Machine Learning is meant for participants at all levels of experience. This courseware covers modules right from the foundations of machine learning and extends upto building complex combined models for advanced machine learning. The course will help participants make clear data features that display the problems that are to be solved through building machine learning models.

Learn how to use regularisation to avoid overfitting to ensure your models are learning and not memorizing. Work on real life case studies that require linear and logistic regression for simpler models and also work on complex problems that require Deep Learning, etc. After this course candidates will be capable of drawing data predictions for all problems with minimum human intervention.

The course modules are structured to give an empirical value and understanding to the candidates. However, all course modules are highly customizable and can be structured to suit the requirements of your organization.

Course Outcome

Make powerful analysis for accurate predictions
Reinforcement Learning, NLP and Deep Learning
Build highly-functional Machine Learning models
Work with advanced techniques like Dimensionality Reduction
Know which Machine Learning model to choose for each type of problem
Learn how to combine Machine Learning models to solve complex problems

Why Mazenet?



  • Expert Faculty

    Our Faculty comprises of 300+ SMEs with many years of experience. All our trainers possess a minimum of 8+ years of experience.

  • Proven Track Record

    We have served over 200+ global corporate clients, consistently maintaining a 99% success rate in meeting training objectives for 300+ technologies with quick turnaround time.

  • Blended Learning

    We provide course content over any platform that our clients prefer. You can choose an exclusive platform or a combination of ILT, VILT, and DLP.

  • Learning Paths

    The learning paths are very defined with clear benchmarks. Quantitative assessments at regular intervals measure the success of the learning program.

  • Case Study

    We have amassed over 10,000 case studies to support training delivery. Candidates will be trained to work on any real-time business vertical immediately after the training.

  • 24*7 Global Availability

    We are equipped to conduct training on any day, date or time. We have delivered training pan India, Singapore, North America, Hong Kong, Egypt and Australia.

Key Features

  • Customized Training Modules

    Training programs are highly flexible with module customizations to suit the requirements of the business units.

  • Certification

    The training can be supplemented with appropriate certifications that are recognized across the industry.

  • Multi-language Support

    Course content can be delivered in English, Spanish, Japanese, Korean or any other language upon request.

  • Personalized Training Reports

    Candidates are assessed individually at regular intervals and are provided unique learning suggestions to suit their learning calibre.

  • Industry-Oriented Training

    Industry-oriented training, completing which, candidates can be immediately deployed for billable projects.

  • Diverse Training Platforms

    Choose from Instructor-Led Training, Virtual Instructor-Led Training, Digital Learning Platform and Blended Training platforms

Course Preview

  • Definition & features of Machine Learning
  • Machine Learning Approches
  • Machine Learning Techniques
  • Application of Machine Learning

  • Automobile Data Exploration
  • Data Exploation techniques
  • Correlation Analysis
  • Data Wrangling

  • Supervised Learning - Real-Life Scenraio
  • Supervised Learnig Flow
  • Regression Use Case

  • Feature Selection
  • Regression
  • Factor Analysos
  • Feature Reduction

  • Use Cases of Classification
  • Classification Algorithms
  • Decision Tree Classifer

  • Time Series Modeling Overview
  • Time series pattern types